Drive the multi-quarter technical roadmap and design large-scale OpenSearch clusters capable of handling petabytes of data with low-latency indexing and query performance
Deeply integrate OpenSearch with CDP components to provide a unified search experience
Lead efforts to optimize JVM settings, shard allocation strategies, and query DSL to ensure maximum throughput and stability
Oversee the development of Kubernetes Operators and Helm charts for automated deployment, scaling, and self-healing of search services
Define and champion best practices for security, observability, and enterprise-grade reliability
Mentor senior and junior engineers on complex technical designs
Requirements
8+ years of experience working with OpenSearch or Elasticsearch in production environments at scale
Deep understanding of consensus algorithms, CAP theorem, replication, and sharding
Mastery of Java and proficiency in Go or Python for automation and tooling
Extensive experience with Kubernetes (K8s) and container orchestration
Hands-on experience deploying search workloads on AWS, Azure, or Google Cloud